Deep reinforcement learning applied to an assembly sequence planning problem with user preferences

Miguel Neves, Pedro Neto

Deep reinforcement learning (DRL) has demonstrated its potential in solving complex manufacturing decision-making problems, especially in a context where the system learns over tim…